#spacecraft-security News & Analysis

TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detection

Researchers demonstrate that lightweight machine learning models, particularly Logistic Regression, can detect cyber and RF threats on autonomous spacecraft with microsecond-level inference speeds and minimal accuracy loss compared to more complex models. The study analyzes TinyML-compatible algorithms against the SPARTA attack model, showing practical feasibility for real-time onboard threat detection in resource-constrained space environments.